Method, system and computer readable medium for evaluating colonoscopy performance

a colonoscopy and performance evaluation technology, applied in the field of colonoscopy performance evaluation, can solve the problems of inability to accurately detect lesions in spiral colonoscopy, inability to accurately evaluate the quality of colonoscopy examination, and inability to reflect the total withdrawal tim

Active Publication Date: 2022-06-30
BERZIN TYLER M MD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no rational scientific method or standard for evaluating the quality of colonoscopy examinations.
However, the inventors found that, although widely used in the field, spiral colonoscopy is not accurate in lesion detection.
Furthermore, it is common that the majority of colonoscopy images taken during withdrawal contain invalid views of the colonic mucosa; therefore, the total withdrawal time cannot reflect the quality of the colonoscopy.
Therefore, referencing the total withdrawal time or other conventional requirements for quality evaluation of colonoscopy not only fails to accurately measure the performance of the physician, but also tends to mislead the physician into blindly aiming at fulfilling certain requirements without focusing on the examination itself, therefore resulting in poor performance and low ADR / APC of the colonoscopy.

Method used

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  • Method, system and computer readable medium for evaluating colonoscopy performance
  • Method, system and computer readable medium for evaluating colonoscopy performance
  • Method, system and computer readable medium for evaluating colonoscopy performance

Examples

Experimental program
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embodiment 1

[0070]As shown in FIG. 1, a method for evaluating colonoscopy performance according to an embodiment of the present disclosure includes the steps of:

[0071](S1) splitting a video acquired during a colonoscopy examination into a plurality of colonoscopy images;

[0072](S2) assigning each of the colonoscopy images into a fold-inspection group or a non-fold-inspection group according to a first classification criterion and a second classification criterion, wherein the first classification criterion includes at least one of clarity, exposure, level of tissue wrinkling, and level of occlusion in each of the colonoscopy images; and the second classification criterion includes at least one of an amount of haustrum, an amount of colonic lumen, and a position of the colonic lumen in each of the colonoscopy images; and

[0073](S3) determining a performance rating of the colonoscopy examination according to an elapsed time of the fold-inspection group.

[0074]In this embodiment, the video can be a r...

embodiment 2

[0086]In addition to the features of Embodiment 1, this embodiment applies the first classification criterion prior to applying the second classification criterion.

[0087]In this embodiment, the image assignment step (S2) includes: (S21) assigning each of the colonoscopy images into an inadequate-view group or an adequate-view group according to the first classification criterion; and (S22) assigning each image in the adequate-view group into the fold-inspection group or a lumen-inspection group according to the second classification criterion. The rating step (S3) includes: determining the performance rating of the colonoscopy examination according to an elapsed time of at least one of the fold-inspection group, the lumen-inspection group, and the inadequate-view group.

[0088]The three-group classification method provided herein is logically clear and capable of classifying all possible colonoscopy images split frame by frame from a colonoscopy video promptly and reliably.

[0089]After...

embodiment 3

[0092]In addition to the features of the aforementioned embodiments, the image assignment step (S22) may include: assigning the colonoscopy image in the adequate-view group into the fold-inspection group if the image meets one of the requirements of: (R1) colonic wall is shown, but in absence of haustrum or colonic lumen; (R2) colonic wall and haustrum are shown, but in absence of colonic lumen; and (R3) colonic wall, haustrum and colonic lumen are shown, the amount of the haustrum shown falls within a range of 1 to 5, and the colonic lumen falls outside of a central area of the image. Alternatively, if the colonoscopy image does not meet any of the requirements of (R1)-(R3), the image is assigned into the lumen-inspection group.

[0093]In conventional spiral colonoscopy, physicians are required to inspect the colonic mucosa by aiming the colonoscope straight at the colonic wall, as illustrated in FIG. 4. Therefore, common practice in the art has been to regard colonoscopy images take...

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Abstract

A computer-implemented method for evaluating colonoscopy performance includes: (S1) splitting a video acquired during a colonoscopy examination into a plurality of colonoscopy images; (S2) assigning each of the colonoscopy images into a fold-inspection group or a non-fold-inspection group according to a first classification criterion and a second classification criterion, wherein the first classification criterion comprises at least one of clarity, exposure, level of tissue wrinkling, and level of occlusion in each of the colonoscopy images; and the second classification criterion comprises at least one of an amount of haustrum, an amount of colonic lumen, and a position of the colonic lumen in each of the colonoscopy images; and (S3) determining a performance rating of the colonoscopy examination according to an elapsed time of the fold-inspection group. The method classifies colonoscopy images more accurately and reliably, thereby providing an effective tool for quality assessment and guidance of colonoscopy examinations.

Description

CROSS-REFERENCE TO RELATED APPLICATION[0001]This application claims the priority under 35 U.S.C. § 119 of Chinese Application No. 202011605719.X, filed Dec. 29, 2020, the entirety of which is incorporated herein by reference.FIELD OF THE INVENTION[0002]The present disclosure relates to intelligent medical diagnostics, and more particularly to a computer-implemented method, an artificial intelligent system and a computer readable medium for evaluating colonoscopy performance.BACKGROUND OF THE INVENTION[0003]Colorectal cancer, developed from adenomatous polyps in precancerous lesion or early cancer, is highly malignant. An effective approach for prevention of colorectal cancer and reduction of its risk of death has been to screen, detect and remove adenomatous polyps at an early stage.[0004]Colonoscopy is a standard procedure for colorectal cancer screening, and includes forward-viewing and withdrawal colonoscopy examinations. Quality of colonoscopy examinations is a primary factor in...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): A61B1/00A61B1/31A61B5/00A61B90/00
CPCA61B1/00009A61B1/31A61B90/39A61B5/7264A61B1/0005G06T7/0012G06T2207/10016G06T2207/10068G06T2207/30028G06T2207/30096G06T7/00G06T2207/20076G06T2207/20064G06T2207/30168G06T2207/20072G16H50/20G16H30/40G16H20/40G16H40/20
Inventor XIAO, XIAOLIU, JINGJIA
Owner BERZIN TYLER M MD
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